{"id":"W2515320058","doi":"10.15353/joci.v12i2.3229","title":"To the Cloud: Big Data in a Turbulent World by Vincent Mosco","year":2016,"lang":"en","type":"article","venue":"The Journal of Community Informatics","topic":"Big Data Technologies and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cloud computing; Reading (process); Upload; World Wide Web; Media studies; Computer science; Visual arts; History; Art; Sociology; Law; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001680571,0.0004412151,0.0003491071,0.001006854,0.002206143,0.005788539,0.0004871011,0.001411995,0.002356734],"category_scores_gemma":[0.005579552,0.0002846913,0.0002611956,0.001691343,0.002946642,0.005058846,0.001209648,0.00468046,0.0009847638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004148426,"about_ca_system_score_gemma":0.004116262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01880667,"about_ca_topic_score_gemma":0.01826363,"domain_scores_codex":[0.9986065,0.0004732499,0.00004141791,0.0001611109,0.0005616643,0.0001561058],"domain_scores_gemma":[0.9968318,0.001745399,0.0001514006,0.00005830203,0.0005414083,0.0006717205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003007368,0.00002659364,0.0009731803,0.0001978405,0.00001409325,0.0001935226,0.002722666,0.0008122104,0.0002280216,0.1375395,0.8123395,0.04492264],"study_design_scores_gemma":[0.000003544022,0.00001394964,0.0006633212,0.0004106847,0.000003707899,0.0001599745,0.001903726,0.001028289,0.0001271307,0.04410311,0.9515504,0.00003217145],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.007515123,0.2325318,0.005333064,0.6817569,0.01369797,0.00003687049,0.0001709762,0.0001090186,0.05884824],"genre_scores_gemma":[0.2788633,0.3944856,0.007872288,0.1347662,0.02785281,0.0001012023,0.000268691,0.0004593115,0.1553307],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01880667,"threshold_uncertainty_score":0.0373944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3204031877869045,"score_gpt":0.3920554610042206,"score_spread":0.0716522732173161,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}